The Bootstrap and Modern Statistics

By Bradley Efron. 2000

194 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Statistics and Probability

View Paper: https://www.semanticscholar.org/paper/5edd01c8cba88ef824c127c4c45a8635d4bb8fd3

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Artificial Intelligence

1. Ray Hilborn
2. André E. Punt
3. Arni Magnusson

In Statistics and Probability

1. Ray Hilborn
2. André E. Punt
3. Arni Magnusson

Citations in the corpus

• A WARP-SPEED METHOD FOR CONDUCTING MONTE CARLO EXPERIMENTS INVOLVING BOOTSTRAP ESTIMATORS (2013, unknown): “8 (Root Weak Convergence): There exists J( ; P ) such that for all continuity points x of J( ; P ) Jn(x; P )! J(x; P ) as n!1: (7)”
• Measuring uncertainty in fisheries stock assessment: the delta method, bootstrap, and MCMC (2013, methodology): “The bootstrap has been described as an automatic processor for frequentist inference, with MCMC as its Bayesian counterpart (Efron 2000).”